{"as_of":"2026-08-20T03:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b98327c34d8d7a94d6d659390d3d156acb2447c92aa37b3baddaa65db635af69","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:46:08.453749Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T18:41:38.156745Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07506","snapshot_observed_at":"2026-08-16T10:46:08.453749Z","title":"arXiv preprint arXiv:2109.07506","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17390","last_updated":"2025-04-24T09:15:58Z","snapshot_observed_at":"2026-08-18T23:07:07.378742Z","submitted_at":"2025-04-24T09:15:58Z","title":"PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-16T10:46:08.453749Z"},"links":{"cited_paper":"/paper/2109.07506","citing_paper":"/paper/2504.17390"},"observation_digest":"sha256:c25322651807a550b6f0c08b644ac206e9b829c3ef10a11c2286b3217d608f2d","observation_id":"49417a56-47fc-48ba-8bec-77b7b229b69b","resolution":{"observed_at":"2026-08-16T10:46:08.453749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07506","snapshot_observed_at":"2026-08-07T14:02:12.155198Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20231","last_updated":"2025-08-13T03:43:47Z","snapshot_observed_at":"2026-08-19T18:41:11.731630Z","submitted_at":"2025-05-26T17:10:43Z","title":"MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T14:02:12.155198Z"},"links":{"cited_paper":"/paper/2109.07506","citing_paper":"/paper/2505.20231"},"observation_digest":"sha256:8bf485bb280b5e6caf10959d4f116ffcb5640acfe1f66931fffe016061ce18f0","observation_id":"ec2572f3-6e78-4d74-b205-fbee40b8128f","resolution":{"observed_at":"2026-08-07T14:02:12.155198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","version":1},"cited_work":{"arxiv_id":"2109.07506","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.07506","snapshot_observed_at":"2026-08-06T18:41:38.156745Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","venue":"cs.CL","work_id":"18883511-412f-4009-b9a0-822778064b4d","year":2021},"citing_paper":{"arxiv_id":"2507.07550","last_updated":"2025-07-10T08:47:41Z","snapshot_observed_at":"2026-08-18T00:38:41.161674Z","submitted_at":"2025-07-10T08:47:41Z","title":"Pluri-perspectivism in Human-robot Co-creativity with Older Adults","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:41:35.936883Z"},"links":{"cited_paper":"/paper/2109.07506","citing_paper":"/paper/2507.07550"},"observation_digest":"sha256:7c4b0181cf7d20758a6ba20747fddec0193fb339f4a6068e095ec39006207304","observation_id":"480796cc-904c-450a-bdb2-62b392f3fffa","resolution":{"observed_at":"2026-08-06T18:41:38.208462Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07506","snapshot_observed_at":"2026-08-04T13:44:05.536306Z","title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , year =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02150","last_updated":"2026-08-05T06:57:37Z","snapshot_observed_at":"2026-08-15T14:31:12.914781Z","submitted_at":"2026-08-03T12:34:31Z","title":"PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs","version":1},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-08-04T13:44:05.536306Z"},"links":{"cited_paper":"/paper/2109.07506","citing_paper":"/paper/2608.02150"},"observation_digest":"sha256:cd7da95124f325d403fee2b429d6ddf3bd57e2b755b77897dbd73ca8a347939d","observation_id":"d117f1d4-aeef-4142-83a8-0e23c1df9e02","resolution":{"observed_at":"2026-08-04T13:44:05.536306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07506","snapshot_observed_at":"2026-08-07T00:11:49.663585Z","title":"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , year =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02150","last_updated":"2026-08-05T06:57:37Z","snapshot_observed_at":"2026-08-15T14:31:12.914781Z","submitted_at":"2026-08-03T12:34:31Z","title":"PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs","version":3},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-08-07T00:11:49.663585Z"},"links":{"cited_paper":"/paper/2109.07506","citing_paper":"/paper/2608.02150"},"observation_digest":"sha256:6d259e554c8ceacef5b2c8fac7baf7cb93c85656f4a3b265f25f8f8619155f6a","observation_id":"315439bf-9d87-456e-a783-635819431623","resolution":{"observed_at":"2026-08-07T00:11:49.663585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2109.07506/citation-record","integrity":"/paper/2109.07506/integrity","json":"/paper/2109.07506/citation-record.json","paper":"/paper/2109.07506"},"outbound":[],"paper":{"arxiv_id":"2109.07506","last_updated":"2021-09-15T18:11:25Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T17:56:20.307624Z","submitted_at":"2021-09-15T18:11:25Z","title":"Dialogue State Tracking with a Language Model using Schema-Driven Prompting"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2109.07506."}